Final answer:
In ANOVA, after rejecting the null hypothesis, the focus shifts to the main effect, interaction effect, and differences between group means rather than the homogeneity of variance.
Step-by-step explanation:
In an analysis of variance (ANOVA), if the null hypothesis (H0) is rejected, it is not a consideration to analyze the homogeneity of variance. The focus should then be on the main effect, interaction effect, and differences between group means. Homogeneity of variances is an assumption that is considered before conducting the ANOVA to ensure that the data meet the requirements for the test. Once the null hypothesis is rejected, indicating that not all group means are the same, the investigation turns to understanding which specific means differ and how they interact, rather than questioning the variance assumption that was established at the outset.